19 results on '"Karagiannidis, Lazaros"'
Search Results
2. SafePASS: A new chapter for Passenger Ship Evacuation and Marine Emergency Response
- Author
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Stefanidis Fotios, Stefanou Evangelos, Boulougouris Evangelos, Karagiannidis Lazaros, Sotiralis Panagiotis, Annetis Emmanouil, Balet Olivier, and Veltsistas Panagiotis
- Subjects
safety ,evacuation ,passenger ,marine ,AR ,risk - Abstract
Despite the current high level of safety and the efforts to make passenger ships resilient to most fire and flooding scenarios, there are still gaps and challenges in the marine emergency response and ship evacuation processes. Those challenges arise from the fact that both processes are complex, multi-variable problems that rely on parameters involving not only people and technology but also procedural and managerial issues. SafePASS Project, funded under EU’s Horizon 2020 Research and Innovation Programme, is set to radically redefine the evacuation processes by introducing new equipment, expanding the capabilities of legacy systems on-board, proposing new Life-Saving Appliances and ship layouts, and challenging the current international regulations, hence reducing the uncertainty, and increasing the efficiency in all the stages of ship evacuation and abandonment process.
- Published
- 2022
- Full Text
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3. AI-Enabled Smart Wristband Providing Real-Time Vital Signs and Stress Monitoring.
- Author
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Mitro, Nikos, Argyri, Katerina, Pavlopoulos, Lampros, Kosyvas, Dimitrios, Karagiannidis, Lazaros, Kostovasili, Margarita, Misichroni, Fay, Ouzounoglou, Eleftherios, and Amditis, Angelos
- Subjects
VITAL signs ,CIVILIAN evacuation ,MACHINE learning ,BIOMETRIC identification ,OXYGEN saturation ,MICROCONTROLLERS ,PULSE oximeters - Abstract
This work introduces the design, architecture, implementation, and testing of a low-cost and machine-learning-enabled device to be worn on the wrist. The suggested wearable device has been developed for use during emergency incidents of large passenger ship evacuations, and enables the real-time monitoring of the passengers' physiological state, and stress detection. Based on a properly preprocessed PPG signal, the device provides essential biometric data (pulse rate and oxygen saturation level) and an efficient unimodal machine learning pipeline. The stress detecting machine learning pipeline is based on ultra-short-term pulse rate variability, and has been successfully integrated into the microcontroller of the developed embedded device. As a result, the presented smart wristband is able to provide real-time stress detection. The stress detection system has been trained with the use of the publicly available WESAD dataset, and its performance has been tested through a two-stage process. Initially, evaluation of the lightweight machine learning pipeline on a previously unseen subset of the WESAD dataset was performed, reaching an accuracy score equal to 91%. Subsequently, external validation was conducted, through a dedicated laboratory study of 15 volunteers subjected to well-acknowledged cognitive stressors while wearing the smart wristband, which yielded an accuracy score equal to 76%. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. The Implementation of a Smart Lifejacket for Assisting Passengers in the Evacuation of Large Passenger Ships.
- Author
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Stamou, Angelos, Kuqo, Paul, Douklias, Athanasios, Antonopoulos, Markos, Kostovasili, Margarita, Karagiannidis, Lazaros, and Amditis, Angelos
- Subjects
CIVILIAN evacuation ,PASSENGER ships ,BUILDING evacuation - Abstract
The evacuation and abandonment of large passenger ships, involving thousands of passengers, is a safety-critical task where techniques and systems that can improve the complex decision-making process and the timely response to emergencies on board are of vital importance. Current evacuation systems and processes are based on predefined and static exit signs, information provided to the passengers in the form of evacuation drills, emergency information leaflets and public announcements systems. It is mandatory for passengers to wear lifejackets during an evacuation, which are made of buoyant or inflatable material to keep them afloat in the water. Time is the most critical attribute in ship evacuation and can significantly affect the overall evacuation process in case passengers do not reach their embarkation stations in a timely manner. Moreover, extreme conditions and hazards, such as fire or flooding, can prevent and hinder the timely evacuation process. To improve the current evacuation systems onboard large passenger ships, a smart lifejacket has been designed and implemented within the context of the project SafePASS. The proposed smart lifejacket integrates indoor localization and navigation functionality to assist passengers during the evacuation process. Once the passenger location is calculated within the ship, the navigation feature guides the passengers along an escape route using vibration motors attached to the lifejacket. This is done in the form of haptic cues to help passengers reach their destination, especially in low-visibility conditions and in case they are left behind or lost. This can increase passenger safety and reduce the total evacuation time, as well as support dynamic evacuation scenarios where the predefined routes and static exit routes may not be available due to fire or flooding incidents. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
5. SafePASS Regulatory Ethical and GDPR Compliance Framework
- Author
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Chatzinikolaou, Stefanos, Liston, Paul, Karagiannidis, Lazaros, Sotiralis, Panagiotis, Maccari, Alessandro, and Hamman, Rainer
- Abstract
This is a public deliverable of the EU funded (H2020) project SafePASS. The deliverable number is D7.2. Executive Summary: This deliverable reports on the first work conducted in the context of Task 7.2 (Regulatory, ethical and GDPR compliance framework). The scope of T7.2 is to produce a framework to support the SafePASS solutions in meeting their overall regulatory, ethical and GDPR obligations. The IMO regulatory framework for LSA and ship evacuation with its well-known gaps and restrictions has been carefully considered from the preparation stage of SafePASS project. One of the project’s main objectives is to support the ongoing work in IMO on an enhanced regulatory framework on ship evacuation. However, considering the plethora of new systems proposed in SafePASS, and the strict rules that govern ship design, operation, and maintenance, many issues concerning the integration of thenew systems onboard may arise. In this context, D7.2 starts with a mapping of the relevant, to the project’s scope, specific SOLAS areas and identifies possible challenges and implications. Challengesidentified due to the prescriptive nature of FSS Code and LSA Code, which do not match with the SafePASS novel evacuation approach. This is further evidenced in Section 3 where the current compliance options in the context of the AD&A and theship evacuation analysis frameworks are discussed. The Safe Return to Port is another SOLAS area which will be challenged. This is becauseSRtP is relevant to the design, while the new systems proposed in SafePASS are alsoconsidering operational scenarios. This different approach may further evidence the need for harmonization in the regulations, as well as an update of the current SRtPExplanatory Notes. Possible integration difficulties for SafePASS components (including components ofthe smart environment) may arise from the safety management system as enforcedby the ISM Code. Integration difficulties refer mainly to the reliability assessmentoptions (i.e. redundancy, functional tests, maintenance routines and possible replacement) for the systems onboard, as required in the maintenance andemergency preparedness elements of the ISM Code. This Code has recently addedrequirements for cybersecurity management including measures such as networksegregation and separation between OT and IT networks, that must be also considered. SafePASS could challenge STCW as well. The effective use of the SafePASS solutionsmay require additional competencies from crew members that should be compared with the current competencies listed in the STCW Code. Integrating ethics in SafePASS project life cycle, as well as disclosing, embedding andorganizing ethics in the design process have been formulated, and personal dataprotection regulation, as well as personal data management and privacy by designprinciples have been defined. The second deliverable on the same topic (in month 36), will examine the SafePASSintegrated system in order to identify explicit areas challenged in the maritime regulatory framework and support the recommendations to address these challenges that are going to be produced in WP9.
- Published
- 2021
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6. Embedded Vision Intelligence for the Safety of Smart Cities.
- Author
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Martin, Jon, Cantero, David, González, Maite, Cabrera, Andrea, Larrañaga, Mikel, Maltezos, Evangelos, Lioupis, Panagiotis, Kosyvas, Dimitris, Karagiannidis, Lazaros, Ouzounoglou, Eleftherios, and Amditis, Angelos
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SMART cities ,DEEP learning ,COMPUTER vision ,MACHINE learning ,ARTIFICIAL intelligence ,DISTRIBUTED computing - Abstract
Advances in Artificial intelligence (AI) and embedded systems have resulted on a recent increase in use of image processing applications for smart cities' safety. This enables a cost-adequate scale of automated video surveillance, increasing the data available and releasing human intervention. At the same time, although deep learning is a very intensive task in terms of computing resources, hardware and software improvements have emerged, allowing embedded systems to implement sophisticated machine learning algorithms at the edge. Additionally, new lightweight open-source middleware for constrained resource devices, such as EdgeX Foundry, have appeared to facilitate the collection and processing of data at sensor level, with communication capabilities to exchange data with a cloud enterprise application. The objective of this work is to show and describe the development of two Edge Smart Camera Systems for safety of Smart cities within S4AllCities H2020 project. Hence, the work presents hardware and software modules developed within the project, including a custom hardware platform specifically developed for the deployment of deep learning models based on the I.MX8 Plus from NXP, which considerably reduces processing and inference times; a custom Video Analytics Edge Computing (VAEC) system deployed on a commercial NVIDIA Jetson TX2 platform, which provides high level results on person detection processes; and an edge computing framework for the management of those two edge devices, namely Distributed Edge Computing framework, DECIoT. To verify the utility and functionality of the systems, extended experiments were performed. The results highlight their potential to provide enhanced situational awareness and demonstrate the suitability for edge machine vision applications for safety in smart cities. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
7. Pulsatile Interleukin-6 Leads CRH Secretion and Is Associated With Myometrial Contractility During the Active Phase of Term Human Labor
- Author
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Papatheodorou, Dimitrios C., Karagiannidis, Lazaros K., Paltoglou, George, Margeli, Alexandra, Kaparos, George, Valsamakis, George, Chrousos, George P., Creatsas, George, and Mastorakos, George
- Published
- 2013
8. A Smart Building Fire and Gas Leakage Alert System with Edge Computing and NG112 Emergency Call Capabilities.
- Author
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Maltezos, Evangelos, Petousakis, Konstantinos, Dadoukis, Aris, Karagiannidis, Lazaros, Ouzounoglou, Eleftherios, Krommyda, Maria, Hadjipavlis, George, and Amditis, Angelos
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FIRE detectors ,INTELLIGENT buildings ,EDGE computing ,GAS leakage ,SMART cities ,COMPUTER systems ,INTELLIGENT sensors - Abstract
Nowadays, the transformations of cities into smart cities is a crucial factor in improving the living conditions of the inhabitants as well as addressing emergency situations under the concept of public safety and property loss. In this context, many sensing systems have been designed and developed that provide fire detection and gas leakage alerts. On the other hand, new technologies such edge computing have gained significant attention in recent years. Moreover, the development of recent intelligent applications in IoT aims to integrate several types of systems with automated next-generation emergency calls in case of a serious accident. Currently, there is a lack of studies that combine all the aforementioned technologies. The proposed smart building sensor system, SB112, combines a small-size multisensor-based (temperature, humidity, smoke, flame, CO, LPG, and CNG) scheme with an open-source edge computing framework and automated Next Generation (NG) 112 emergency call functionality. It involves crucial actors such as IoT devices, a Public Safety Answering Point (PSAP), the middleware of a smart city platform, and relevant operators in an end-to-end manner for real-world scenarios. To verify the utility and functionality of the proposed system, a representative end-to-end experiment was performed, publishing raw measurements from sensors as well as a fire alert in real time and with low latency (average latency of 32 ms) to the middleware of a smart city platform. Once the fire was detected, a fully automatic NG112 emergency call to a PSAP was performed. The proposed methodology highlights the potential of the SΒ112 system for exploitation by decision-makers or city authorities. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
9. A Comparative Study of Autonomous Object Detection Algorithms in the Maritime Environment Using a UAV Platform.
- Author
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Vasilopoulos, Emmanuel, Vosinakis, Georgios, Krommyda, Maria, Karagiannidis, Lazaros, Ouzounoglou, Eleftherios, and Amditis, Angelos
- Subjects
OBJECT recognition (Computer vision) ,ALGORITHMS ,WATER currents ,STREAMING video & television ,MACHINE learning ,DRONE aircraft ,AUTONOMOUS vehicles - Abstract
Maritime operations rely heavily on surveillance and require reliable and timely data that can inform decisions and planning. Critical information in such cases includes the exact location of objects in the water, such as vessels, persons, and others. Due to the unique characteristics of the maritime environment, the location of even inert objects changes through time, depending on the weather conditions, water currents, etc. Unmanned aerial vehicles (UAVs) can be used to support maritime operations by providing live video streams and images from the area of operations. Machine learning algorithms can be developed, trained, and used to automatically detect and track objects of specific types and characteristics. EFFECTOR is an EU-funded project, developing an Interoperability Framework for maritime surveillance. Within the project, we developed an embedded system that employs machine learning algorithms, allowing a UAV to autonomously detect objects in the water and keep track of their changing position through time. Using the on-board computation unit of the UAV, we ran and present the results of a series of comparative tests among possible architecture sizes and training datasets for the detection and tracking of objects in the maritime environment. We tested architectures based on their efficiency, accuracy, and speed. A combined solution for training the datasets is suggested, providing optimal efficiency and accuracy. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
10. A Video Analytics System for Person Detection Combined with Edge Computing.
- Author
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Maltezos, Evangelos, Lioupis, Panagiotis, Dadoukis, Aris, Karagiannidis, Lazaros, Ouzounoglou, Eleftherios, Krommyda, Maria, and Amditis, Angelos
- Subjects
EDGE computing ,TRACKING algorithms ,OBJECT recognition (Computer vision) ,SMART cities ,SITUATIONAL awareness ,VIDEO surveillance - Abstract
Ensuring citizens' safety and security has been identified as the number one priority for city authorities when it comes to the use of smart city technologies. Automatic understanding of the scene, and the associated provision of situational awareness for emergency situations, are able to efficiently contribute to such domains. In this study, a Video Analytics Edge Computing (VAEC) system is presented that performs real-time enhanced situation awareness for person detection in a video surveillance manner that is also able to share geolocated person detection alerts and other accompanied crucial information. The VAEC system adopts state-of-the-art object detection and tracking algorithms, and it is integrated with the proposed Distribute Edge Computing Internet of Things (DECIoT) platform. The aforementioned alerts and information are able to be shared, though the DECIoT, to smart city platforms utilizing proper middleware. To verify the utility and functionality of the VAEC system, extended experiments were performed (i) in several light conditions, (ii) using several camera sensors, and (iii) in several use cases, such as installed in fixed position of a building or mounted to a car. The results highlight the potential of VAEC system to be exploited by decision-makers or city authorities, providing enhanced situational awareness. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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11. RANGER: Radars and Early Warning Technologies for Long Distance Maritime Surveillance
- Author
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Karagiannidis Lazaros, Dres Dimitrios, Protopapadakis Eftychios, Lamole Frédéric, Jacquin François, Rigal Gilles, Ouzounoglou Eleftherios, Katsaros Dimitris, Karalis Alexandros, Pierno Luigi, Mastroeni Carmelo, Evangelista Marco, Fontana Valeria, Gaglione Domenico, Soldi Giovanni, Braca Paolo, Sarlio-Siintola Sari, Sdongos Evangelos, and Amditis Angelos
- Subjects
machine learning ,maritime surveillance ,Over-The-Horizon (OTH) Radar ,ethics compliance ,early warning system - Abstract
In this paper, we present a high-level view of RANGER, a novel platform that combines innovative radar technologies with cutting edge technological solutions for early warning, in view of delivering a surveillance platform offering detection, recognition, identification and tracking of suspicious vessels, i.e. capabilities that exceed those of current radar systems. The RANGER platform consists of two radar technologies, a novel Over-The-Horizon (OTH) Radar combined with a Multiple- input and Multiple-output Radar (MIMO) implemented exploiting the latest photonics advancements, a Uniform Communication Gateway (UCG) for seamless, secure and interoperable integration of radars and legacy systems, an Early Warning System (EWS) exploiting data fusion and deep and adaptable machine learning schemes able to automatically detect radar targets and produce early warnings, an Advanced User Interface (AUI) for visualization of the maritime operational picture, and a Common Information Sharing Environment (CISE) gateway adapter for sharing information with the CISE network. The RANGER system aims at significantly progressing the accuracy and long distance detection, identification and recognition rates as well as improving the provision of early warnings and alerts related to maritime operations, thus drastically improving the response and intervention capacity of related European services.
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- 2019
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- View/download PDF
12. A single injection of long acting gnrh-antagonist -degarelix- downregulates hypophysis during ovarian stimulation. A randomized controlled trial
- Author
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Chartomatsidou, Tatiana, Najdecki, Robert, Chouliara, Foteini, Timotheou, Evangelia, Tatsi, Petroula, Asouchidou, Eirini, Βouchlariotou, Sofia, Mbambas, Evangelos, Karagiannidis, Lazaros Konstantinos, Nikolettos, Nikolaos, and Papanikolaou, Evangelos
- Published
- 2019
- Full Text
- View/download PDF
13. Pulsatile Interleukin-6 Leads CRH Secretion and Is Associated With Myometrial Contractility During the Active Phase of Term Human Labor
- Author
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Papatheodorou, Dimitrios C. Karagiannidis, Lazaros K. Paltoglou, George Margeli, Alexandra Kaparos, George Valsamakis, George and Chrousos, George P. Creatsas, George Mastorakos, George
- Subjects
endocrine system ,hormones, hormone substitutes, and hormone antagonists - Abstract
Objective: Our objective was to investigate IL-6 and CRH secretion during the active phase of human labor and to define their potential involvement in myometrial contractility. Study Design: Twenty-two primigravid women were studied for 90 minutes during the active phase of term labor by serial plasma sampling every 3 minutes for measurement of IL-6 and CRH concentrations. Uterine contractions, measured by cardiotocograph, were evaluated in Montevideo units. Basic, quantitative, pulsatility, and time cross-correlation statistical analyses were performed. Results: By linear regression analysis, a positive correlation was observed between IL-6 and CRH total mean area under the curve above 0 (r = 0.76184, P = .006). Mean number of pulses was 2.00 +/- 0.70 and 3.33 +/- 1.29 for IL-6 and CRH, respectively. There was a significant positive correlation between IL-6 and CRH over time, peaking at the 12-minute interval, with IL-6 leading CRH. Also, there was a significant positive correlation between myometrial contractility expressed in Montevideo units and IL-6 concentrations over time, starting at +51 minutes and ending at +57 minutes with myometrial contractility leading IL-6. No significant correlation was found between myometrial contractility and CRH concentrations over time. Conclusion: IL-6 and CRH are both secreted in a pulsatile fashion during the active phase of human labor. The time-integrated concentrations of the two hormones are positively correlated, with IL-6 leading CRH secretion. It appears, thus, that proinflammatory mediators may be direct and/or indirect promoters of placental CRH release. Furthermore, the secretion of IL-6, which is a myokine, seems to be associated positively with uterine contractility. Additional studies are needed to elucidate the combined effect of inflammation, placental CRH release, and/or the receptors of the latter in parturition.
- Published
- 2013
14. A CPS-enabled architecture for sewer mining systems.
- Author
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Karagiannidis, Lazaros, Vrettopoulos, Michalis, Amditis, Angelos, Makri, Effie, and Gkonos, Nikolaos
- Published
- 2016
- Full Text
- View/download PDF
15. Design and Implementation of a UAV-Based Airborne Computing Platform for Computer Vision and Machine Learning Applications.
- Author
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Douklias, Athanasios, Karagiannidis, Lazaros, Misichroni, Fay, and Amditis, Angelos
- Subjects
- *
COMPUTER vision , *MACHINE learning , *COMPUTING platforms , *IMAGE processing , *STREAMING video & television , *INTELLIGENT sensors - Abstract
Visual sensing of the environment is crucial for flying an unmanned aerial vehicle (UAV) and is a centerpiece of many related applications. The ability to run computer vision and machine learning algorithms onboard an unmanned aerial system (UAS) is becoming more of a necessity in an effort to alleviate the communication burden of high-resolution video streaming, to provide flying aids, such as obstacle avoidance and automated landing, and to create autonomous machines. Thus, there is a growing interest on the part of many researchers in developing and validating solutions that are suitable for deployment on a UAV system by following the general trend of edge processing and airborne computing, which transforms UAVs from moving sensors into intelligent nodes that are capable of local processing. In this paper, we present, in a rigorous way, the design and implementation of a 12.85 kg UAV system equipped with the necessary computational power and sensors to serve as a testbed for image processing and machine learning applications, explain the rationale behind our decisions, highlight selected implementation details, and showcase the usefulness of our system by providing an example of how a sample computer vision application can be deployed on our platform. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
16. The INUS Platform: A Modular Solution for Object Detection and Tracking from UAVs and Terrestrial Surveillance Assets.
- Author
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Maltezos, Evangelos, Douklias, Athanasios, Dadoukis, Aris, Misichroni, Fay, Karagiannidis, Lazaros, Antonopoulos, Markos, Voulgary, Katerina, Ouzounoglou, Eleftherios, Amditis, Angelos, and Mylonas, Phivos
- Subjects
COMPUTER vision ,SITUATIONAL awareness ,SYSTEM integration ,IMAGE processing ,MACHINE learning ,REMOTELY piloted vehicles ,ARTIFICIAL satellite tracking - Abstract
Situational awareness is a critical aspect of the decision-making process in emergency response and civil protection and requires the availability of up-to-date information on the current situation. In this context, the related research should not only encompass developing innovative single solutions for (real-time) data collection, but also on the aspect of transforming data into information so that the latter can be considered as a basis for action and decision making. Unmanned systems (UxV) as data acquisition platforms and autonomous or semi-autonomous measurement instruments have become attractive for many applications in emergency operations. This paper proposes a multipurpose situational awareness platform by exploiting advanced on-board processing capabilities and efficient computer vision, image processing, and machine learning techniques. The main pillars of the proposed platform are: (1) a modular architecture that exploits unmanned aerial vehicle (UAV) and terrestrial assets; (2) deployment of on-board data capturing and processing; (3) provision of geolocalized object detection and tracking events; and (4) a user-friendly operational interface for standalone deployment and seamless integration with external systems. Experimental results are provided using RGB and thermal video datasets and applying novel object detection and tracking algorithms. The results show the utility and the potential of the proposed platform, and future directions for extension and optimization are presented. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
17. SafePASS -Transforming Marine Accident Response
- Author
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Boulougouris, Evangelos, Vassalos, Dracos, Stefanidis, Fotios, Karaseitanidis, Ioannis, Karagiannidis, Lazaros, Admitis, Angelos, Ventikos, Nikolaos, Kanakidis, Dimitris, Petrantonakis, Dimitris, and Liston, Paul
- Subjects
pedestrian dynamics ,marine accident response ,13. Climate action ,ship evacuation ,life-saving appliances ,passenger ships ,dynamic route finding ,risk modelling - Abstract
The evacuation of a ship is the last line of defence against human loses in case of emergencies in extreme fire and flooding casualties. Since the establishment of the International Maritime Organisation (IMO), Maritime Safety is its cornerstone with the Safety of Life at Sea Convention (SOLAS) spearheading its relentless efforts to reduce risks to human life at sea. However, the times are changing. On one hand, we have the new opportunities created with the vast technological advances of today. On the other, we are facing new challenges, with the ever-increasing size of the passenger ships and the societal pressure for a continuous improvement of maritime safety. In this respect, the EU-funded Horizon 2020 Research and Innovation Programme project SafePASS, presented herein, aims to radically redefine the evacuation processes, the involved systems and equipment and challenge the international regulations for large passenger ships, in all environments, hazards and weather conditions, independently of the demographic factors. The project consortium, which brings together 15 European partners from industry, academia and classification societies. The SafePASS vision and plan for a safer, faster and smarter ship evacuation involves: i) a holistic and seamless approach to evacuation, addressing all states from alarm to rescue, including the design of the next generation of life-saving appliances and; ii) the integration of ‘smart’ technology and Augmented Reality (AR) applications to provide individual guidance to passengers, regardless of their demographic characteristics or hazard (flooding or fire), towards the optimal route of escape., {"references":["Al-Ammar, M. A. et al. (2014) 'Comparative survey of indoor positioning technologies, techniques, and algorithms', in Proceedings - 2014 International Conference on Cyberworlds, CW 2014. Institute of Electrical and Electronics Engineers Inc., pp. 245–252. doi: 10.1109/CW.2014.41.","Alarifi, A. et al. (2016) 'Ultra wideband indoor positioning technologies: Analysis and recent advances', Sensors (Switzerland). MDPI AG. doi: 10.3390/s16050707.","CLIA (2016) 'Cruise Industry Outlook', Cruise Lines International Association.","Corrigan, S. and Al., E. (2015) 'Implementing Collaborative Decision Making in European Airports: Challenges & Recommendations', Journal of Cognition, Technology & Work, 17(2).","Dowling, R. and Weeden, C. (2017) Cruise Ship Tourism. Wallingford : CABI, 2006.","European Commission (2017) Funding & tenders, Funding & Tender Opportunities. Available at: https://ec.europa.eu/info/funding- tenders/opportunities/portal/screen/opportunities/topic-details/mg-2-2-2018 (Accessed: 15 September 2019).","European Commission (2019) Next generation of life Saving appliances and systems for saFE and swift evacuation operations on high capacity PASSenger ships in extreme scenarios and conditions | SafePASS Project | H2020 | CORDIS | European Commission, CORDIS- EU Research Results. Available at: https://cordis.europa.eu/project/rcn/221857/factsheet/en (Accessed: 15 September 2019).","eVACUATE Deliverable D.10.3 (2017) Exercise Report- Final Version 1.0.","IN-PREP (2018) In-Prep – Right people in the right place at the right time. Available at: https://www.in-prep.eu/ (Accessed: 15 September 2019).","Stefanidis, F., Boulougouris, E. and Vassalos, D. (2019) 'Ship Evacuation and Emergency Response Trends', in Design and Operation of Passenger Ships. London: The Royal Institute of Naval Architects. Available at: https://www.researchgate.net/publication/335639309_Ship_Evacuation_and_Emergency_Response_Trends (Accessed: 15 September 2019).","Tashakkori, H., Rajabifard, A. and Kalantari, M. (2015) 'A new 3D indoor/outdoor spatial model for indoor emergency response facilitation', Building and Environment. Elsevier Ltd, 89, pp. 170–182. doi: 10.1016/j.buildenv.2015.02.036.","Tsitsilonis, K. M. et al. (2018) 'Concept Design Considerations for the next generation of Mega-Ships', in Kujala, P. and Lu, L. (eds) 13th International Marine Design Conference (IMDC 2018). Helsinki, Finland, GB: Taylor and Francis, CRC Press. Available at: https://pureportal.strath.ac.uk/en/publications/22ec4e08-b671-4b76-8219-c30ef5edc69f.","Vassalos, D. and Al., E. (2004) 'Effectiveness of Passenger evacuation performance for Design, Operation and Training using First-Principles Simulation Tools', in Escape, Evacuation & Recovery. Lloyds Lists Events."]}
18. SafePASS -Transforming Marine Accident Response
- Author
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Boulougouris, Evangelos, Vassalos, Dracos, Stefanidis, Fotios, Karaseitanidis, Ioannis, Karagiannidis, Lazaros, Admitis, Angelos, Ventikos, Nikolaos, Kanakidis, Dimitris, Petrantonakis, Dimitris, and Liston, Paul
- Subjects
pedestrian dynamics ,marine accident response ,13. Climate action ,ship evacuation ,life-saving appliances ,passenger ships ,dynamic route finding ,risk modelling - Abstract
The evacuation of a ship is the last line of defence against human loses in case of emergencies in extreme fire and flooding casualties. Since the establishment of the International Maritime Organisation (IMO), Maritime Safety is its cornerstone with the Safety of Life at Sea Convention (SOLAS) spearheading its relentless efforts to reduce risks to human life at sea. However, the times are changing. On one hand, we have the new opportunities created with the vast technological advances of today. On the other, we are facing new challenges, with the ever-increasing size of the passenger ships and the societal pressure for a continuous improvement of maritime safety. In this respect, the EU-funded Horizon 2020 Research and Innovation Programme project SafePASS, presented herein, aims to radically redefine the evacuation processes, the involved systems and equipment and challenge the international regulations for large passenger ships, in all environments, hazards and weather conditions, independently of the demographic factors. The project consortium, which brings together 15 European partners from industry, academia and classification societies. The SafePASS vision and plan for a safer, faster and smarter ship evacuation involves: i) a holistic and seamless approach to evacuation, addressing all states from alarm to rescue, including the design of the next generation of life-saving appliances and; ii) the integration of ‘smart’ technology and Augmented Reality (AR) applications to provide individual guidance to passengers, regardless of their demographic characteristics or hazard (flooding or fire), towards the optimal route of escape.
19. SafePASS Personas and Respective Scenarios of Use
- Author
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Blake, Juan-Latzke, Karagiannidis, Lazaros, Kostovasili, Margarita, Rammos, Alexandros, and Stamou, Angelos
- Subjects
safety ,passenger ship ,cruise ship ,evacuation ,h2020 ,maritime - Abstract
This is a public deliverable of the EU funded (H2020) project SafePASS. The deliverable number is D2.3. Executive Summary: This deliverable’s main objective is twofold. On one hand, the deliverable’s focus is to consolidate a set of user requirements to facilitate the SafePASS system and entities design process, as well as the definition of the respective system specifications by describing the methodology used. The second goal is to define the appropriate personas to be used in the design process by describing the methodology used, as well as the respective scenarios of use that will further facilitate the system design and reveal the full potential of SafePASS. In order to create the consolidated list, the methodology used for the elicitation of user requirements is described, as well as the sub-groups of requirements that were derived from the Grant Agreement, the analysis of the best practices, gaps and needs, the mission and operational requirements and the stakeholder workshops and surveys. Moreover, ten (10) different Personas are identified and presented analytically, along with their role, status and main characteristics that may affect the scenarios of use and the overall evacuation process. In parallel, six (6) scenarios of use are described, based on the outcomes of the stakeholder workshops and the identified gaps of the state-of-the-art analysis, while their characteristics as the time of the day, the sea state, the location of the vessel and the type of incident are defined. Finally, the ten (10) defined personas are mapped to the six (6) scenarios of use, so as to assess their interconnections with the SafePASS system under varying situations, and the relevant requirements that derive from the special characteristics of both the personas and the scenario conditions, as well as the relevant SafePASS components, are facilitated.
- Published
- 2021
- Full Text
- View/download PDF
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